Literature DB >> 20623365

Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.).

Guifu Liu1, Haitao Zhu, Shuwen Liu, Ruizhen Zeng, Zemin Zhang, Wentao Li, Xiaohua Ding, Fangming Zhao, Guiquan Zhang.   

Abstract

A single segment substitution population of 26 lines and their recipient parent Hua-jing-xian 74 (HJX74) were selected as experimental materials for analyzing the developmental behavior of tiller number in rice. By the unconditional QTL (quantitative trait locus) mapping method, a total number of 14 SSSLs were detected with QTLs controlling rice tiller number. The number of QTLs significantly affecting tiller number and their effect values estimated differed across measuring stages. More QTLs could be detected based on time-dependent measures of different stages. By the conditional QTL mapping method, it is possible to reveal net expression of gene in a time interval. 14 QTLs on tiller number expressed their effects in dynamic patterns of themselves during whole ontogeny. They exhibited mainly negative effects within 7 days after transplanting. During 7-21 days, QTLs were in active status and expressed larger positive effects. In the mid-period of 21-35 days, they had opposite genetic effects to wither tillers. Since then these QTLs expressed positive effects again to cause the appearance of noneffective tillers. The dynamics of QTL effects was in agreement with the actual change of tillers. Mapping QTL combining unconditional with conditional analysis for time-dependent measures is helpful to understand roundly the genetic bases for the development of quantitative traits.

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Year:  2010        PMID: 20623365     DOI: 10.1007/s10709-010-9471-y

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  26 in total

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Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

2.  Characterization of the genetic basis for yield and its component traits of rice revealed by doubled haploid population.

Authors:  Gong-Hao Jiang; Cai-Guo Xu; Xiang-Hua Li; Yu-Qing He
Journal:  Yi Chuan Xue Bao       Date:  2004-01

3.  Mapping QTLs of root morphological traits at different growth stages in rice.

Authors:  Yanying Qu; Ping Mu; Hongliang Zhang; Charles Y Chen; Yongming Gao; Yuxiu Tian; Feng Wen; Zichao Li
Journal:  Genetica       Date:  2007-09-07       Impact factor: 1.082

4.  Genetic dissection of height in maritime pine seedlings raised under accelerated growth conditions.

Authors:  C Plomion; C E Durel; D M O'Malley
Journal:  Theor Appl Genet       Date:  1996-10       Impact factor: 5.699

5.  Suppression of tiller bud activity in tillering dwarf mutants of rice.

Authors:  Shinji Ishikawa; Masahiko Maekawa; Tomotsugu Arite; Kazumitsu Onishi; Itsuro Takamure; Junko Kyozuka
Journal:  Plant Cell Physiol       Date:  2005-01-19       Impact factor: 4.927

Review 6.  QTL mapping in rice.

Authors:  S R McCouch; R W Doerge
Journal:  Trends Genet       Date:  1995-12       Impact factor: 11.639

7.  Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits.

Authors:  Feng Tian; De Jun Li; Qiang Fu; Zuo Feng Zhu; Yong Cai Fu; Xiang Kun Wang; Chuan Qing Sun
Journal:  Theor Appl Genet       Date:  2005-12-06       Impact factor: 5.699

8.  Developmental quantitative genetics, conditional epigenetic variability and growth in mice.

Authors:  W R Atchley; J Zhu
Journal:  Genetics       Date:  1997-10       Impact factor: 4.562

9.  RFLP mapping of QTLs for yield and related characters in rice (Oryza sativa L.).

Authors:  H X Lin; H R Qian; J Y Zhuang; J Lu; S K Min; Z M Xiong; N Huang; K L Zheng
Journal:  Theor Appl Genet       Date:  1996-06       Impact factor: 5.699

10.  Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross.

Authors:  J Xiao; J Li; L Yuan; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

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  16 in total

1.  Dynamic and comparative QTL analysis for plant height in different developmental stages of Brassica napus L.

Authors:  Xiaodong Wang; Hao Wang; Yan Long; Liezhao Liu; Yajun Zhao; Jianhua Tian; Weiguo Zhao; Baojun Li; Li Chen; Hongbo Chao; Maoteng Li
Journal:  Theor Appl Genet       Date:  2015-03-22       Impact factor: 5.699

2.  Dynamic analysis of QTLs on tiller number in rice (Oryza sativa L.) with single segment substitution lines.

Authors:  Guifu Liu; Haitao Zhu; Guiquan Zhang; Lanhai Li; Guoyou Ye
Journal:  Theor Appl Genet       Date:  2012-02-21       Impact factor: 5.699

3.  Detection and characterization of epistasis between QTLs on plant height in rice using single segment substitution lines.

Authors:  Haitao Zhu; Ziqiang Liu; Xuelin Fu; Ziju Dai; Shaokui Wang; Guiquan Zhang; Ruizhen Zeng; Guifu Liu
Journal:  Breed Sci       Date:  2015-06-01       Impact factor: 2.086

4.  Identification of Quantitative Trait Loci and Water Environmental Interactions for Developmental Behaviors of Leaf Greenness in Wheat.

Authors:  Delong Yang; Mengfei Li; Yuan Liu; Lei Chang; Hongbo Cheng; Jingjing Chen; Shouxi Chai
Journal:  Front Plant Sci       Date:  2016-03-08       Impact factor: 5.753

5.  Development and Genetic Control of Plant Architecture and Biomass in the Panicoid Grass, Setaria.

Authors:  Margarita Mauro-Herrera; Andrew N Doust
Journal:  PLoS One       Date:  2016-03-17       Impact factor: 3.240

6.  Development of a platform for breeding by design of CMS restorer lines based on an SSSL library in rice (Oryza sativa L.).

Authors:  Ziju Dai; Qing Lu; Xin Luan; Lian Ouyang; Jie Guo; Jiayan Liang; Haitao Zhu; Wenjuan Wang; Shaokui Wang; Ruizhen Zeng; Ziqiang Liu; Zemin Zhang; Xiaoyuan Zhu; Guiquan Zhang
Journal:  Breed Sci       Date:  2016-11-18       Impact factor: 2.086

7.  Identification of a low tiller gene from a new plant type cultivar in rice (Oryza sativa L.).

Authors:  Md Nashir Uddin; Asami Tomita; Mitsuhiro Obara; Seiji Yanagihara; Yoshimichi Fukuta
Journal:  Breed Sci       Date:  2016-11-23       Impact factor: 2.086

8.  Chromosomes A07 and A05 associated with stable and major QTLs for pod weight and size in cultivated peanut (Arachis hypogaea L.).

Authors:  Huaiyong Luo; Jianbin Guo; Xiaoping Ren; Weigang Chen; Li Huang; Xiaojing Zhou; Yuning Chen; Nian Liu; Fei Xiong; Yong Lei; Boshou Liao; Huifang Jiang
Journal:  Theor Appl Genet       Date:  2017-10-20       Impact factor: 5.699

9.  Genome-Wide Association Study of the Genetic Basis of Effective Tiller Number in Rice.

Authors:  Mengmeng Ren; Minghan Huang; Haiyang Qiu; Yan Chun; Lu Li; Ashmit Kumar; Jingjing Fang; Jinfeng Zhao; Hang He; Xueyong Li
Journal:  Rice (N Y)       Date:  2021-06-25       Impact factor: 4.783

10.  Dynamic quantitative trait loci analysis of seed reserve utilization during three germination stages in rice.

Authors:  Xinxin Cheng; Jinping Cheng; Xi Huang; Yanyan Lai; Ling Wang; Wenli Du; Zhoufei Wang; Hongsheng Zhang
Journal:  PLoS One       Date:  2013-11-11       Impact factor: 3.240

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